含分布式电源的配电网多故障抢修的多代理策略研究

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (413 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In terms of the problem that many faults were caused by natural disasters in the distribution system, a multi-faults rush-repair optimization model with distributed generators(DGs) was built. In this model, temporary power supply by the generated cars was used to improve the rush-repair efficiency. On the basis of coordinating control of distribution network control center, rush-repair teams, loads and DGs, a multi-agent system, which consists of central control agent(CAG), N rush-repair team agents(RAGs) and information collection agent(IAG), was built to establish emergency repair strategy. Considering new faults on the repair site, when communication was normal, the CAG updated the rush-repair strategy according to global information, otherwise the RAG modified the network topology according to the estimated repair time, then updates the rush-repair strategy, and finally dynamic repair was achieved. The results proved the effectiveness and correctness of the proposed method.

Key words： Distribution network distributed generators multi faults rush repair multi-agent generated car

Received: 13 December 2011 Published: 25 March 2014

PACS:

TM732

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Li Xueping
	Lu Zhigang
	Liu Zhaozheng
	Feng Tao

Cite this article:

Li Xueping,Lu Zhigang,Liu Zhaozheng等. Multi-agent Strategy of Distribution Networks Multi-Faults Rush-Repair with Distributed Generators[J]. Transactions of China Electrotechnical Society, 2013, 28(8): 48-55.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2013/V28/I8/48

[1] Watanab, I Kurihara, I Nakachi, Y. A hybrid genetic algorithm for service restoration problems in power distribution systems[J]. IEEE Congress on Evolutionary Computation, CEC 2006, 3250 - 3257.
[2] 张立梅, 唐巍. 计及分布式电源的配电网前推回代潮流计算[J]. 电工技术学报, 2010, 25(8): 123-130.
Zhang Limei, Tang Wei. Back/forward sweep power flow calculation method of distribution networks with DGs[J]. Transactions of China Electrotechnical Society, 2010, 25(8): 123-130.
[3] 李鹏, 廉超, 李波涛. 分布式电源并网优化配置的图解方法[J]. 中国电机工程学报, 2009, 29(4): 91-96.
Li Peng, Lian Chao, Li Botao. A graph-based optimal solution for siting and sizing of grid-connected distributed generation[J]. Proceedings of the CSEE, 2009, 29(4): 91-96.
[4] 林霞, 陆于平, 王联合. 分布式发电条件下的多电源故障区域定位新方法[J]. 电工技术学报, 2008, 23(11): 139-145.
Lin Xia, Lu Yuping, Wang Lianhe. New fault region location scheme in distribution system with DGs[J]. Transactions of China Electrotechnical Society, 2008, 23(11): 139-145.
[5] Nagata T, Sasaki H. A multi-agent approach to power system restoration[J]. IEEE Transactions on Power Systems, 2002, 17(2): 457-462.
[6] 侯玉强, 方勇杰, 杨卫东, 等. 基于多代理技术的低频低压减负荷控制[J]. 电力系统自动化, 2011, 35(4): 1-5.
Hou Yuqiang, Fang Yongjie, Yang Weidong, et al. A new method of UFLS/UVLS Based on multi-agent technology[J]. Automation of Electic Power Systems, 2011, 35(4): 1-5.
[7] 王照, 马文晓, 高飞. 基于多代理技术的分布式馈线自动化实现方法[J]. 电力系统自动化, 2010, 34(6): 54-57.
Wang Zhao, Ma Wenxiao, Gao Fei. A multi-agent based approach to the distributed feeder automation system[J]. Automation of Electic Power Systems, 2010, 34(6): 54-57.
[8] 王增平, 张丽, 徐玉琴, 等. 含分布式电源的配电网大面积断电供电恢复策略[J]. 中国电机工程学报, 2010, 30(34): 8-14.
Wang Zengping, Zhang Li, Xu Yuqin, et al. Service restoration strategy for blackout of distribution system with distributed generators[J]. Proceedings of the CSEE, 2010, 30(34): 8-14.
[9] 李千目, 汪洋, 衷宜, 等. 基于多代理的网络故障检测新方法[J]. 兵工学报, 2005, 26(5): 675-680.
Li Qianmu, Wang Yang, Zhong Yi, et al. A new network troubleshooting method based on multiagent[J]. Acta Armam Entarii, 2005, 26(5): 675-680.
[10] 郑刚, 徐红兵, 王新珩, 等. 基于智能多代理的变速恒频风电机组分布式控制策略[J]. 电力系统自动化, 2010, 34(6): 94-97.
Zheng Gang, Xu Hongbing, Wang Xinheng, et al. Distributed control strategy for variable speed constant frequency wind power unit based on intelligent multi-agents[J]. Automation of Electic Power Systems, 2010, 34(6): 94-97.
[11] 徐玉琴, 张丽, 王增平, 等. 基于多智能体遗传算法并考虑分布式电源的配电网大面积断电供电恢复方法[J]. 电工技术学报, 2010, 25(4): 135-141.
Xu Yuqin, Zhang Li, Wang Zengping, et al. Algorithm of service restoration for large area blackout in distribution network with distributed generators[J]. Transactions of China Electrotechnical Society, 2010, 25(4): 135-141.
[12] 王守相, 李晓静, 肖朝霞, 等. 含分布式电源的配电网供电恢复的多代理方法[J]. 电力系统自动化, 2007, 31(10): 61-65.
Wang Shouxiang, Li Xiaojing, Xiao Chaoxia, et al. Multi-agent approach for service restoration of distribution system containing distributed generations[J]. Automation of Electric Power Systems, 2007, 31(10): 61-65.
[13] 魏巍, 李兴源, 廖萍, 等. 含分布式电源的电力系统多代理故障恢复新方法[J]. 电力系统自动化, 2009, 33(3): 89-93.
Wei Wei, Li Xingyuan, Liao Ping, et al. A new multi-agent fault restoration method for power system with distribution generations[J]. Automation of Electric Power Systems , 2009, 33(3): 89-93.
[14] 卢志刚, 孙波, 刘照拯, 等. 基于改进离散BCC算法的配电网灾后抢修策略[J]. 电力系统自动化, 2011, 35(11): 55-59.
Lu zhigang, Sun bo, Liu zhaozheng, et al. A rush repair strategy for distribution networks based on improved discrete BCC after disaster[J]. Automation of Electic Power Systems, 2011, 35(11): 55-59.
[15] 张晶伟, 张粒子, 黄弦超. 基于遗传拓扑混合算法的配电网多故障抢修策略[J]. 电力系统自动化, 2008, 32(22): 32-35.
Zhang Jingwei, Zhang Lizi, Huang Xianchao. A multi- fault rush repair strategy for distribution network based on genetic-topology algorithm[J]. Automation of Electic Power Systems, 2008, 32(22): 32-35.
[16] Agalgaonkar A P, Kulkarni S V, Khaparde SA. Evaluation of configuration plans for DGs indeveloping countries using advanced planning techniques[J]. IEEE Transactions on Power Systems, 2006, 21(2): 973-981.
[17] 贺星棋, 刘俊勇, 杨可, 等. 分布式电源对故障恢复初期不平衡孤网稳态特性影响[J]. 电工技术学报, 2011, 26(7): 120-125.
He Xingqi, Liu Junyong, Yang Ke, et al. Effects of distributed generation on steady-state characteristics of unbalanced isolated power system in initial period of fault restoration[J]. Transactions of China Electro- technical Society, 2011, 26(7): 120-125.
[18] 王守相, 王成山. 现代配电系统分析[M]. 北京: 高等教育出版社, 2007.